Design of E-shaped Microstrip Antenna And Parameters estimation using ANN - A review

The microstrip antenna finds applications in varied and upcoming technologies because it offers low profile, narrow bandwidth, high gain, and compact antenna element. The microstrip antenna have biggest disadvantage of narrow bandwidth and poor impedance matching. To make microstrip antenna compatible with commercial applications, the bandwidth enhancement and impedance matching of such antennas are to be done. To improve the bandwidth the L probe and U slot techniques are used, those are efficient to enhance the bandwidth. In this research, Microstrip patch antenna with coaxial feed technique is integrated. The impedance matching of antenna depends upon type and position of the feed because impedance matching of source at the feeding point of antenna is very important for efficient operation of antenna. But it is not an easy task to achieve for a simple microstrip patch antenna. To solve this problem an Artificial Neural Network (ANN) model has proposed in this research. Artificial Neural Network is highly simplified model of the structure of the biological neural network to calculate the parameters by estimation.